Positive Real Functions
Any passive driving-point impedance, such as the impedance of a
violin bridge, is positive real. Positive real functions have
been studied extensively in the continuous-time case in the context of
network synthesis [68,524]. Very little, however, seems
to be available in the discrete time case. This section (reprinted
from [428]) summarizes the main properties of positive real
function in the plane (i.e., the discrete-time case).
Definition.
A complex valued function of a complex variable is said to be
positive real (PR) if
We now specialize to the subset of functions representable as a
ratio of finite-order polynomials in
. This class of ``rational''
functions is the set of all transfer functions of finite-order
time-invariant linear systems, and we write
to denote a member
of this class. We use the convention that stable, minimum phase
systems are analytic and nonzero in the strict outer
disk.C.8 Condition (1) implies
that for
to be PR, the polynomial coefficients must be real,
and therefore complex poles and zeros must exist in conjugate
pairs. We assume from this point on that
satisfies (1).
From (2) we derive the facts below.
Property 1. A real rational function is PR iff
.
Proof. Expressing in polar form gives

since the zeros of are isolated.
Property 2. is PR iff
is PR.
Proof. Assuming is PR, we have by Property 1,


Property 3. A PR function is analytic and nonzero in
the strict outer disk.
Proof. (By contradiction)
Without loss of generality, we treat only order polynomials





The general (normalized) causal, finite-order, linear,
time-invariant transfer function may be written
where



Suppose there is a pole of multiplicity outside the unit circle.
Without loss of generality, we may set
, and
with
. Then for
near
, we have

Consider the circular neighborhood of radius described by
. Since
we may
choose
so that all points
in this neighborhood lie
outside the unit circle. If we write the residue of the factor
in polar form as
, then we have,
for sufficiently small
,
Therefore, approaching the pole








Corollary. In equation Eq.(C.80),
.
Proof. If , then there are
poles at
infinity. As
,
, we must have
.
Corollary. The log-magnitude of a PR function has zero mean on the unit circle.
This is a general property of stable, minimum-phase transfer functions which follows immediately from the argument principle [297,326].
Corollary. A rational PR function has an equal number of poles and zeros all of which are in the unit disk.
This really a convention for numbering poles and zeros. In Eq.(C.80),
we have
, and all poles and zeros inside the unit disk. Now, if
then we have
extra poles at
induced by the numerator.
If
, then
zeros at the origin appear from the denominator.
Corollary. Every pole on the unit circle of a positive real function must be simple with a real and positive residue.
Proof.
We repeat the previous argument using a semicircular neighborhood of
radius about the point
to obtain
In order to have




Corollary.
If is PR with a zero at
, then


Proof. We may repeat the above for .
Property. Every PR function has a causal inverse z transform
.
Proof. This follows immediately from analyticity in the outer disk
[342, pp. 30-36]
However, we may give a more concrete proof as follows.
Suppose is non-causal. Then there exists
such that
.
We have,

Hence, has at least one pole at infinity and cannot be PR by Property 3.
Note that this pole at infinity cannot be cancelled since otherwise

which contradicts the hypothesis that is non-causal.
Property.
is PR iff it is analytic for
, poles on the
unit circle are simple with real and positive residues, and
re
for
.
Proof. If is positive real, the conditions stated hold by virtue
of Property 3 and the definition of positive real.
To prove the converse, we first show nonnegativity on the upper semicircle implies nonnegativity over the entire circle.

Alternatively, we might simply state that
real implies
re
is even in
.
Next, since the function is analytic everywhere except at
, it follows that
is analytic wherever
is finite. There are no poles of
outside the unit
circle due to the analyticity assumption, and poles on the unit circle
have real and positive residues. Referring again to the limiting form
Eq.
(C.81) of
near a pole on the unit circle at
,
we see that, as
, we have
since the residue














For example, if a transfer function is known to be asymptotically stable, then a frequency response with nonnegative real part implies that the transfer function is positive real.
Note that consideration of leads to analogous necessary and sufficient
conditions for
to be positive real in terms of its
zeros instead of poles.
Relation to Stochastic Processes
Property.
If a stationary random process has a rational power spectral
density
corresponding to an autocorrelation function
, then

Proof.
By the representation theorem [19, pp. 98-103] there exists
an asymptotically stable filter
which will produce a
realization of
when driven by white noise, and we have
. We define the analytic continuation
of
by
. Decomposing
into a sum of
causal and anti-causal components gives

where is found by equating coefficients of like powers of
in

Since the poles of and
are the same,
it only remains to be shown that
re
.
Since spectral power is nonnegative,
for all
, and so

Relation to Schur Functions
Definition. A Schur function
is defined as a complex function analytic and of modulus not exceeding
unity in
.
Property. The function
is a Schur function if and only if

Proof.
Suppose is positive real. Then for
,
re
re
is PR. Consequently,
is minimum phase which implies all roots of
lie in the unit circle.
Thus
is analytic in
. Also,




Conversely, suppose is Schur. Solving Eq.
(C.84) for
and taking the real part on the unit circle yields

If
is constant, then
is PR. If
is not
constant, then by the maximum principle,
for
. By
Rouche's theorem applied on a circle of radius
,
, on
which
, the function
has the same number of
zeros as the function
in
. Hence,
is
minimum phase which implies
is analytic for
. Thus
is PR.
Relation to functions positive real in the right-half plane
Property.
re for
whenever



Proof.
We shall show that the change of variable
,
provides a conformal map from the z-plane to the s-plane that takes the
region
to the region
re
. The general formula for a
bilinear conformal mapping of functions of a complex variable is given by
In general, a bilinear transformation maps circles and lines into circles
and lines [83]. We see that the choice of three specific points
and their images determines the mapping for all and
.
We must have that the imaginary axis in the s-plane maps to the unit circle
in the z-plane.
That is, we may determine the mapping by three points of the form
and
.
If we predispose one such mapping by choosing the pairs
and
, then we are left with
transformations of the form

Letting












There is a bonus associated with the restriction that be real which
is that
We have therefore proven
Property.




The class of mappings of the form Eq.(C.85) which take the exterior of
the unit circle to the right-half plane is larger than the class
Eq.
(C.86). For example, we may precede the transformation
Eq.
(C.86) by any
conformal map which takes the unit disk to the unit disk, and these
mappings have the algebraic form of a first order complex allpass
whose zero lies inside the unit circle.
where
















Riemann's theorem may be used to show that Eq.


The bilinear transform is one which is used to map analog filters into
digital filters. Another such mapping is called the matched
transform [362]. It also preserves the positive real
property.
Property. is PR if
is positive real in the analog
sense, where
is interpreted as the sampling period.
Proof. The mapping
takes the right-half
-plane to
the outer disk in the
-plane. Also
is real if
is
real. Hence
PR implies
PR. (Note, however, that
rational functions do not in general map to rational
functions.)
These transformations allow application of the large battery of tests which exist for functions positive real in the right-half plane [524].
Special cases and examples
- The sum of positive real functions is positive real.
- The difference of positive real functions is conditionally positive real.
- The product or division of positive real functions is conditionally PR.
PR
not PR for
.
Minimum Phase (MP) polynomials in
All properties of MP polynomials apply without modification to marginally stable allpole transfer functions (cf. Property 2):
- Every first-order MP polynomial is positive real.
- Every first-order MP polynomial
is such that
is positive real.
- A PR second-order MP polynomial with complex-conjugate zeros,
satisfies
, then re
has a double zero at
- All polynomials of the form
.)
Miscellaneous Properties
- If all poles and zeros of a PR function are on the unit circle,
then they alternate along the circle. Since this property is
preserved by the bilinear transform, it is true in both the
and
planes. It can be viewed as a consequence of the
phase bounds for positive-real functions.
- If
is PR, then so is
, where the prime denotes differentiation in
.
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Two Ideal Strings Coupled at an Impedance
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Passive Reflectances